Microsoft has formulated a library named DoWhy to build efficient and robust causal models for critical domains.
The “ipyvizzu” is an animated graphing tool for notebooks
Vocoders based on deep neural networks may produce human-like voices
Pytorch has formulated a framework named TorchRec sharding that is suitable for training and modelling large scale recommendation systems.
Pytorch learning rate scheduler is used to find the optimal learning rate for various models by conisdering the model architecture and parameters.
The Cyclic Learning rate method finds the rate automatically.
Learning rate controls the amount of information to be learned.
The Bonsai Brain is a low code AI component that is integrated with Automation systems. The Bonsai Brain focuses on adding value to various Autonomous and AI systems.
MLops streamlines the process of production, maintaining and monitoring the ML model
MLCube is an interface which facilitates easy model sharing across platforms and account for increased model usage across platforms.
Sorting and selection primitives acts an nodes in evolutionary tree algorithm
The observed data is forecasted using Bayesian Neural Networks
